Agentic AI Expert

AI Trainer Jobs; United States; Remote; USD 28,000 - 55,000; Full time

Job summary

AI Trainer Jobs is seeking a remote reviewer for Agentic AI Expert tasks. You will assess AI outputs against defined workflows, policies, and playbooks, grade tone and escalation, and document actionable next steps for training.

The role requires direct experience with agentic AI operations, strong rubric adherence, and exceptional attention to detail. Flexible, async availability of at least 10 hours per week is expected.

Qualifications

• Direct working experience on real Agentic AI Specialist operations teams.
• Ability to apply multi-page rubrics consistently across long batches.
• Clear written reasoning that cites the policy or workflow used.
• Strong attention to detail and ability to flag prompt issues.
• Reliable async availability for at least 10 hours per week.
• Familiarity with AI-assisted workflow tooling and failure modes.
• Bilingual experience for cross-region operations.

Responsibilities

• Review AI outputs against agentic ai specialist operations workflows, playbooks, and policy for Agentic AI Expert assignments.
• Grade tone, escalation logic, and stakeholder fit on a structured rubric.
• Flag operational risk, missed escalations, and policy-adherence gaps with severity tags.
• Capture the right next step so the modeling team can train on it.
• Adjudicate disputed treatments against published playbooks or firm guidance.

Skills

Operational review

Policy adherence

Workflow judgment

Stakeholder communication

Agentic AI specialist operations

AI model evaluation

Tools

AI-assisted workflow tooling

Job description

About the role

Agentic AI Expert is a remote review track for evaluating AI outputs across agentic ai specialist operations workflows. Reviewers grade workflow correctness, policy adherence, and stakeholder fit; flag operational risk; and document the right next step so the modeling team can train on it.
Agentic AI specialist operations AI has to fit into an actual day at work. AuraOne uses experienced operators to grade outputs the way a senior peer would - checking workflow, policy, and the unwritten rules that decide whether a task actually gets done.
Judge tool-use tasks and enterprise agent behavior. Operational judgment is the skill.

Responsibilities

• Review AI outputs against current agentic ai specialist operations workflows, playbooks, and firm policy for Agentic AI Expert assignments.
• Grade tone, escalation logic, and stakeholder fit on a structured rubric.
• Flag operational risk, missed escalations, and policy-adherence gaps with severity tags.
• Capture the right next step so the modeling team can train on it.
• Adjudicate disputed treatments against published playbooks or firm guidance.

What you should bring

• Direct working experience in agentic ai specialist operations on real teams for Agentic AI Expert work.
• Comfort applying multi-page rubrics consistently across long batches.
• Clear written reasoning that names the policy or workflow being applied.
• Strong attention to detail and the ability to flag when a prompt itself is the problem.
• Reliable async availability for at least 10 hours per week.

Role signals

Example tasks

• Grade a model's response to a real agentic ai specialist operations ticket and rate workflow, tone, and escalation.
• Flag a missed escalation with the right severity tag and corrected next step.
• Adjudicate a disputed playbook call between two reviewers using firm guidance.
• Audit a 25-row batch for rubric consistency and report drift to the program lead.

Useful experience

• Prior experience training, calibrating, or QA-ing operations teams.
• Familiarity with AI-assisted workflow tooling and its failure modes.
• Bilingual experience for cross-region operations.

Compensation and schedule

Hourly rate confirmed after the interview process.
Expected arrangement: contractor , with program-defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.

Skills used in matching

• Operational review
• Policy adherence
• Workflow judgment
• Stakeholder communication
• Agentic AI specialist operations
• AI model evaluation

Application boundary

Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record.

Specialist intake

The intake preserves your chosen role, the visible terms, and source attribution for reviewer context.

• 01 Confirm profile and eligibility details.
• 02 Attach this role deliberately.
• 03 Receive a human review decision or follow-up.
  Placement timing depends on program demand and reviewer confirmation.